Sound quality DNA construction according to the scenario and operating condition of diesel engine

被引:2
作者
Zhou, Qidi [1 ]
Zhang, Junhong [1 ,2 ]
Tian, Xinwei [3 ]
Zhang, Rui [1 ]
Lin, Gengyi [1 ]
Zhang, Yiming [1 ]
Lin, Jiewei [1 ,3 ]
机构
[1] Tianjin Univ, State Key Lab Engines, Tianjin 300072, Peoples R China
[2] Tianjin Univ, Renai Coll, Tianjin 301636, Peoples R China
[3] Weichai Power Co Ltd, Weifang 26106, Peoples R China
基金
中国国家自然科学基金;
关键词
Sound quality; DNA construction; Application scenarios; Operating conditions; Subjective evaluation; Diesel engine; MODEL;
D O I
10.1016/j.apacoust.2021.108117
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
The sound quality (SQ) of a diesel engine varies with scenario and operating condition, therefore, the traditional evaluation method based on fixed operating points may not be able to reflect the SQ flexibly. Besides, it is difficult to effectively quantify the SQ performance due to the differences of application scenarios, which is not conducive to conduct targeted acoustic improvement. To address this issue, a quick SQ evaluation approach was proposed based on the DNA construction of scenario and operating condition. In this approach, the effectiveness and diversity of sampling were considered, and fifteen operating conditions of each engine (four in total) including frequently used ones and randomly selected ones were picked for jury tests. The revised grouped pair comparison (RGPC) was developed to improve the evaluation accuracy and efficiency for large scale samples. The fuzzy analytic hierarchy process (FAHP) was introduced to calculate the weights of operating conditions for different application scenarios, and the weighted preference was employed as a comprehensive SQ index. As a result, the DNA of scenario-operating condition were extracted and examined, which can quickly and precisely sequence the SQ of diesel engines in different application scenarios. (C) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页数:13
相关论文
共 20 条
[1]  
Fastl H., 2007, Psychoacoustics: Facts and Models, P247
[2]   Application of the Model Based on Fuzzy Consistent Matrix and AHP [J].
Gao, Jun-peng ;
Xu, Zhi-sheng ;
Liu, Ding-li ;
Cao, Huan-huan .
2013 INTERNATIONAL CONFERENCE ON PERFORMANCE-BASED FIRE AND FIRE PROTECTION ENGINEERING (ICPFFPE 2013), 2014, 71 :591-596
[3]   Evaluation of vehicle interior sound quality using a continuous restricted Boltzmann machine-based DBN [J].
Huang, Hai B. ;
Li, Ren X. ;
Yang, Ming L. ;
Lim, Teik C. ;
Ding, Wei P. .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2017, 84 :245-267
[4]   Sound quality prediction and improving of vehicle interior noise based on deep convolutional neural networks [J].
Huang, Xiaorong ;
Huang, Haibo ;
Wu, Jiuhui ;
Yang, Mingliang ;
Ding, Weiping .
EXPERT SYSTEMS WITH APPLICATIONS, 2020, 160
[5]  
Huang Y, 2009, CHIN J ACOUST, V4, P298, DOI [10.15949/j.cnki.0217-9776.2009.04.003, DOI 10.15949/J.CNKI.0217-9776.2009.04.003]
[6]   Comments on the validity of transfer matrix based models for the prediction of the effect of curved sound packages [J].
Kesour, Kamal ;
Alimonti, Luca ;
Atalla, Noureddine .
JOURNAL OF SOUND AND VIBRATION, 2020, 465
[7]  
Krej J., 2017, On Additive Consistency of Interval Fuzzy Preference Relations
[8]   Model of psychoacoustic sportiness for vehicle interior sound: Excluding loudness [J].
Kwon, Gahee ;
Jo, Hyeonho ;
Kang, Yeon June .
APPLIED ACOUSTICS, 2018, 136 :16-25
[9]   Development of sound-quality indexes in a car cabin owing to the acoustic characteristics of absorption materials [J].
Lee, Sang-Kwon ;
Lee, Gun-Hee ;
Back, Jiseon .
APPLIED ACOUSTICS, 2019, 143 :125-140
[10]   Sound quality prediction for engine-radiated noise [J].
Liu, Hai ;
Zhang, Junhong ;
Guo, Peng ;
Bi, Fengrong ;
Yu, Hanzhengnan ;
Ni, Guangjian .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2015, 56-57 :277-287